Application of Machine Learning Algorithms to Predict Rock Types Using Geochemical Data: A Case Study from the Obuasi Gold District, Ghana

GEOSTATISTICAL APPROACH FOR THE ESTIMATION OF SHEAR-HOSTED GOLD DEPOSIT: A CASE STUDY OF THE OBUASI GOLD DEPOSIT, GHANA

Underground mining at Obuasi in Ghana has been in operation since 1947. This paper uses geostatistic

Classification of imbalanced data using machine learning algorithms to predict the risk of renal graft failures in Ethiopia

Abstract Introduction The prevalence of end-stage renal disease

Evaluating Machine Learning Models for Gold Prospectivity Mapping Using Integrated Geological and Geochemical Data in Bindura

Machine learning approaches for gold prospectivity mapping in Bindura District, Zimbabwe, under seve

Developing Classification Model for Chickpea Types using Machine Learning Algorithms

Ethiopia is the leading producer of chickpea in Africa and among the top ten most important

Different machine learning algorithms with types.

Design a model to predict incomplete immunization among Ethiopian children using ensemble machine learning algorithms

Abstract Immunization is a cost-effective public health intervention globally, i